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Data Science Intern
BetterHelp. Refine and enhance language models, including fine-tuning and retraining to meet specific requirements .
Posted 11/5/2026full-timeRemote • California • United StatesMid-LevelSenior💰 $40 - $60 per hourWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Expertise in refining and enhancing language models, with a strong foundation in neural networks, deep learning, and generative AI. Proficient in analyzing large datasets and developing production-ready machine learning models while effectively collaborating with cross-functional teams.
Highest-signal resume keywords
PhD In Quantitative DisciplineNatural Language Processing (NLP)Deep LearningPyTorchSQL Query Optimization
ATS Keywords
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Hard Skills
Machine LearningPredictive ModelingCausal Inference ModelsData AnalysisNeural NetworksGenerative AIReinforcement LearningProduction-Ready CodeLarge Dataset HandlingAlgorithm Design
Soft Skills
Excellent CommunicationTeam Collaboration
Tools & Technologies
PyTorchTensorFlowSQLML-OpsDevOps
Tech Stack
Tools & technologiesPyTorchSQLTensorflow
About the role
Key responsibilities & impact- Refine and enhance language models, including fine-tuning and retraining to meet specific requirements
- Collaborate with product and development teams to design machine learning models and algorithms for product needs
- Work with product managers to implement strategies that improve product functionality and user experience
- Handle, analyze, and derive insights from extensive text data and large datasets
- Develop and maintain robust, efficient, production-ready code
- Collaborate with DevOps and ML-Ops teams to integrate machine learning models into production environments
- Write and optimize SQL queries and interact with databases
- Contribute positively in a team-oriented environment while developing a world-class product
Requirements
What you’ll need- Currently enrolled in or recently graduated from a PhD program in a quantitative discipline such as Computer Science/Engineering, Statistics, Mathematics, Operations Research, or Engineering
- Completed coursework in NLP and LLM
- Deep understanding of neural networks, deep learning, and generative AI
- Familiarity with reinforcement learning
- Experience building predictive models and causal inference models
- Familiarity with generative AI
- Experience analyzing large and complex data sets
- Experience using tools like PyTorch (preferably) or TensorFlow
- Excellent communication skills, with the ability to simplify complex topics and communicate technical ideas to non-technical audiences
Benefits
Comp & perks- Remote work with regular in-person bonding experiences sponsored by the company
- Competitive compensation
- Holistic perks program (including free therapy, employee wellness, and more)
- Excellent health, dental, and vision coverage
- 401k benefits with employer matching contribution
- The chance to build something that changes lives – and that people love
- Any piece of hardware or software that will make you happy and productive
- An awesome community of co-workers
- Travel expenses are covered for required office visits and company offsite
- Reasonable accommodations for those under unique circumstances who cannot travel